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Metering device clock error trend prediction method based on social perception

A clock error and metering device technology, applied in prediction, neural learning methods, calculations, etc., can solve problems such as clock error, lack of analysis and utilization of massive historical error records, inaccurate clock synchronization signals, etc., to achieve the goal of solving the problem of clock error Effect

Pending Publication Date: 2020-07-31
WENZHOU ELECTRIC POWER BUREAU +4
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  • Abstract
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Problems solved by technology

However, due to many reasons such as inaccurate clock synchronization signals, device crystal oscillator clock frequency not meeting the requirements of regulations, communication delays, device response delays, and different implementation methods of time calibration software, it is inevitable that the time of the energy metering device will be different from the standard time. Deviation occurred
[0003]However, the existing works can only solve the clock error problem in specific scenarios, and are not generalized enough
When the metering device is replaced or the device has a clock skew due to other more different problems, the previous precautions cannot be continued
The root cause of these problems is that the existing work is often carried out from specific reasons such as the design of the metering device and the cause of the error, but lacks the full analysis and utilization of the massive historical error records

Method used

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  • Metering device clock error trend prediction method based on social perception
  • Metering device clock error trend prediction method based on social perception
  • Metering device clock error trend prediction method based on social perception

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Embodiment Construction

[0034] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0035] The goal of the present invention is to mine the different patterns of clock error trends by analyzing the past time error records of electric energy metering equipment, and use machine learning technology to realize the prediction of the future clock error range. Therefore, the model of the present invention does not rely too much on domain knowledge and artificial priors, so it is not limited to specific devices and causes of errors, and can be adapted to different scenarios, thereby providing a more general solution to solve the problem of generalization Power device clock error problem.

[0036] The model adopted in the present invention is a time series evolution gene model, which is the latest neural network model based on cyclic neural network and generation confrontation network. For the clock error of the electric me...

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Abstract

The invention discloses a metering device clock error trend prediction method based on social perception, and relates to the field of electric power operation and maintenance. Existing work can only solve the clock error problem of a specific scene and is not universal enough. According to the method, a time sequence evolution gene model is adopted, an ammeter clock error is divided into a plurality of sub-sequences on a certain window, the model can analyze the error change characteristics of the window sub-sequences, and the sub-sequences with similar distribution are divided into one blockthrough a classifier of the model; genes for generating the subsequence distribution characteristics are mined through a generative adversarial network; the genes of the sub-sequences in history are combined, the evolution process of the sub-sequences is analyzed through a recurrent neural network, the evolution mode of the sub-sequences is analyzed and the future clock error trend of the sub-sequences is predicted. The technical scheme is not limited to specific devices and reasons causing errors, and can adapt to different scenes, so that a more universal scheme is provided, and the generalized clock error problem of the electric energy device is solved.

Description

technical field [0001] The invention relates to the field of electric power operation and maintenance, in particular to a method for predicting clock error trends of metering devices based on social perception. Background technique [0002] The normal and stable operation of electric energy metering equipment affects the development of power grid companies and the economic benefits of their operations. Among them, the clock is one of the basic components of the metering device, and its accuracy is directly related to whether the metering device can accurately measure data in different periods. However, due to many reasons such as inaccurate clock synchronization signals, device crystal oscillator clock frequency not meeting the requirements of regulations, communication delays, device response delays, and different implementation methods of time calibration software, it is inevitable that the time of the energy metering device will be different from the standard time. Devia...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/04G06N3/08
CPCG06Q10/04G06Q50/06G06N3/08G06N3/045
Inventor 王谊庄越挺吴亮杨洋胡文杰凌辉龚强陈清泰
Owner WENZHOU ELECTRIC POWER BUREAU
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